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🚨 API vs MCP: APIs are great. But MCP? Let's deep dive (<1min) 💡 So what’s the difference? Isn’t MCP just another API in disguise? Not quite. They look similar at first glance — but under the hood, MCP is purpose-built for modern AI and agenti

Greg Isenberg just shared 23 MCP STARTUP IDEAS TO BUILD IN 2025 (ai agents/ai/mcp ideas) and its amazing: "1. PostMortemGuy – when your app breaks (bug, outage), MCP agent traces every log, commit, and Slack message. Full incident report in seconds.

🚀 MCP Architecture: Powering Seamless AI Integration! ⚡ Imagine a world where your AI interacts effortlessly with remote services like Slack, Gmail and Calendar 📅 while also tapping into local data sources 💾 MCP (Multi-Component Processing) bridg

🚨 BREAKING: Anthropic just dropped the tutorial on "Building AI Agents with Claude Agent SDK" Here's what it covers: > Agent Loop Gather context → Take action → Verify work → Repeat. Your agent searches files, executes tasks, checks its output, t

Most people even today don't know this about MCP. I've explained it in simple way below. AI systems fail because control logic lives inside prompts. MCP moves that control outside the model, where it belongs. 1. 𝗗𝗶𝗿𝗲𝗰𝘁 𝗔𝗣𝗜 𝗪𝗿𝗮𝗽𝗽𝗲𝗿

Sharing a selection of AI courses I've mastered some of them, and others are in the backlog. HuggingFace Agent Course - https://huggingface.co/learn/agents-course/en/unit0/introduction MCP with Anthropic - https://www.deeplearning.ai/short-course

Cursor IDE vs TRAE IDE > Cursor - Free : Only on Auto Mode & GPT 4.1 Paid : Usage based pricing | $20/month > TRAE - Free : All models with Waiting on Que Requests. Paid : $3/month only for first month with 600 Requests on Premium Models like

Everyone wants to build AI agents these days. But very few actually understand what sits beneath the surface. Here’s the part most people ignore: AI agents are mostly software engineering - about 95%. The “AI” part is just the remaining 5%. All the

Building an AutoResearch-style ML Agent with kaggle notebook Without an H100 GPU Recently I was exploring Andrej Karpathy’s idea of AutoResearch — an agent that can plan experiments, run models, and evaluate results like a machine learning researche

4 ways how AI systems communicate and coordinate. I've explained each one in detail below. 1. 𝗠𝗖𝗣 (𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹) • User submits a request: “Summarize today’s Slack messages.” • MCP Client receives input: Interface b